Question: HAS MULTIPLE PARTS, PLEASE ANSWER ALL When constructing the argument for a bagging tree strategy, the varImpPlot function displays feature importance graphically. For this we

HAS MULTIPLE PARTS, PLEASE ANSWER ALL

When constructing the argument for a bagging tree strategy, the varImpPlot function displays feature importance graphically. For this we set the type argument to either equal 1 or 2. If type = 2, then what does this command?

  • to show the average decrease in the predictive variable mean in a percentage form

  • that R will use the average decrease in the Gini impurity index to compare the feature importance

  • to show the feature importance as the average decrease in overall accuracy

  • that R will use the average increase in the Gini impurity index to compare future importance

  • Based on the Gini index, 0.10 implies a higher degree of purity because it is closer to 0 than 0.5.

    T or F

  • Before constructing a decision tree, one of the first steps is identifying possible splits of the predictor variable.

    T or F

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